Coreteks explores the future of GPUs and their role in AI.
In case you didn’t know, I write a monthly column for MSDN Magazine on AI called “Artificially Intelligent”
In the last two articles, I covered one of the most exciting topics in AI in these days: reinforcement learning
Here’s a snippet and link to the full articles on MSDN.
In previous articles, I’ve mentioned both supervised learning and unsupervised learning algorithms. Beyond these two methods of machine learning lays another type: Reinforcement Learning (RL). Formally defined, RL is a computational approach to goal-oriented learning through interaction with the environment under ideal learning conditions.
Like other aspects of AI, many of the algorithms and approaches actively used today trace their origins back to the 1980s (bit.ly/2NZP177). With the advent of inexpensive storage and on-demand compute power, reinforcement learning techniques have re-emerged.
In last month’s column, I explored a few basic concepts of reinforcement learning (RL), trying both a strictly random approach to navigating a simple environment and then implementing a Q-Table to remember both past actions and which actions led to which rewards. In the demo, an agent working randomly was able to reach the goal state approximately 1 percent of the time and roughly half the time when using a Q-Table to remember previous actions. However, this experiment only scratched the surface of the promising and expanding field of RL.
In this video, Noelle LaCharite explores how quick and easy it is to create a chatbot using QnA Maker that can answer top-of-mind questions for employees or customers.
Here’s a fascinating look at yet another technology that was science-fiction not too long ago: exoskeleton technology to help the disabled walk.
Watch this video by BBC Click and be amazed.
I just finished listening to the audio book version of Antii-Fragile (go to this site to grab one free audio book via Data Driven) and it’s quite amazing.
Here’s the author, Nassim Nicholas Taleb, talking about how the world is no more resilient than it was before the 2008 financial crisis.